Articles | Volume 15, issue 18
https://doi.org/10.5194/amt-15-5207-2022
https://doi.org/10.5194/amt-15-5207-2022
Research article
 | 
15 Sep 2022
Research article |  | 15 Sep 2022

Thermal–optical analysis of quartz fiber filters loaded with snow samples – determination of iron based on interferences caused by mineral dust

Daniela Kau, Marion Greilinger, Bernadette Kirchsteiger, Aron Göndör, Christopher Herzig, Andreas Limbeck, Elisabeth Eitenberger, and Anne Kasper-Giebl

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on amt-2022-145', X. Wang, 22 Jun 2022
    • AC3: 'Reply on CC1', Daniela Kau, 04 Aug 2022
  • RC1: 'Comment on amt-2022-145', Jonas Svensson, 23 Jun 2022
    • AC1: 'Reply on RC1', Daniela Kau, 04 Aug 2022
  • RC2: 'Comment on amt-2022-145', X. Wang, 26 Jun 2022
    • AC2: 'Reply on RC2', Daniela Kau, 04 Aug 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Daniela Kau on behalf of the Authors (04 Aug 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (07 Aug 2022) by Mingjin Tang
RR by Xin Wang (10 Aug 2022)
RR by Anonymous Referee #2 (20 Aug 2022)
ED: Publish as is (21 Aug 2022) by Mingjin Tang
AR by Daniela Kau on behalf of the Authors (25 Aug 2022)  Manuscript 
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Short summary
The use of thermal–optical analysis for the determination of elemental carbon (EC) and organic carbon (OC) can be biased by mineral dust (MD). We present a method that utilizes this interference to quantify iron contained in MD in snow samples. Possibilities and limitations of applying this method to particulate matter samples are presented. The influence of light-absorbing iron compounds in MD on the transmittance signal can be used to identify samples experiencing a bias of the OC / EC split.